Southampton, Hampshire, United Kingdom Hybrid / WFH Options
NICE
and personal systems. 3+ years of experience working with NICE WFM products. 3+ years communicating in English in a technical field. Experience working with WFO related software (WFM, QM, etc.). Experience in Web Applications support. Experience in Database Troubleshooting and Tuning (MS SQL). Experience in Scripting languages (Shell More ❯
with the subject line: “Application Support Request”. Role: Senior Technical Project/Program Manager Location: Watford/London Work mode: Hybrid (3 days WFO) Working hours: 40 hours per week Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
/+44 204 520 2575 with the subject line: “Application Support Request”. Role : Azure .NET MSAL developer Location : London (Hybrid - 3 days WFO) Type : Permanent Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
Office number 02031552100 with the subject line: “ Application Support Request” Role: Senior GCP Data Engineer. Job Type: Permanent Location: London, UK (Hybrid - 2 days WFO) Number of hours: 40 hours per week – full time We have an exciting opportunity for you as a GCP Data Engineer. Careers at TCS: It … everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes. You’ll find a welcoming culture and many internal volunteering and social networks to join (these are More ❯
for a commercially minded Data Scientist with a strong foundation in machine learning to help us solve practical, high-impact problems across hospitality and workforce optimisation. You’ll work with real partner data to build and deploy models that improve labour planning, service quality, and decision-making at scale. … supervised and unsupervised learning, and the judgement to apply the right approach Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision Comfortable working with AWS services (e.g. SageMaker, Lambda) Strong grasp of statistics and modelling, with the ability to turn raw data More ❯
